Abstract
Full-waveform (FWF) airborne laser scanning (ALS) systems became available for operational data acquisition around the year 2004. These systems typically digitize the analogue backscattered echo of the emitted laser pulse with a high frequency. FWF digitization has the advantage of not limiting the number of echoes that are recorded for each individual emitted laser pulse. Studies utilizing FWF data have shown that more echoes are provided from reflections in the vegetation in comparison to discrete echo systems. To obtain geophysical metrics based on ALS data that are independent of a mission’s flying height, acquisition time or sensor characteristics, the FWF amplitude values can be calibrated, which is an important requirement before using them in further classification tasks. Beyond that, waveform digitization provides an additional observable which can be exploited in forestry, namely the width of the backscattered pulse (i.e. echo width). An early application of FWF ALS was to improve ground and shrub echo identification below the forest canopy for the improvement of terrain modelling, which can be achieved using the discriminative capability of the amplitude and echo width in classification algorithms. Further studies indicate that accuracies can be increased for classification (e.g. species) and biophysical parameter extraction (e.g. diameter at breast height) for single-tree- and area-based methods by exploiting the FWF observables amplitude and echo width.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Adams T, Beets P, Parrish C (2012) Extracting more data from LiDAR in forested areas by analyzing waveform shape. Remote Sens 4(3):682–702
Ahokas E, Kaasalainen S, Hyyppä J, Suomalainen J (2006) Calibration of the Optech ALTM 3100 laser scanner intensity data using brightness targets. Int Arch Photogramm Remote Sens Spat Inf Sci 36(1):T03–11
Alexander C, Tansey K, Kaduk J, Holland D, Tate NJ (2010) Backscatter coefficient as an attribute for the classification of full-waveform airborne laser scanning data in urban areas. ISPRS J Photogramm Remote Sens 65:423–432
Axelsson P (2000) DEM generation from laser scanner data using adaptive TIN models. Int Arch Photogramm Remote Sens 33(B4):110–117
Beraldin JA, Blais F, Lohr U (2010) Laser scanning technology. In: Vosselman G, Maas H-G (eds) Airborne and terrestrial laser scanning. Boca Raton, London, New York, CRC press, Taylor and Francis Group, chap 1, pp 1–42
Briese C, Pfeifer N, Dorninger P (2002) Applications of the robust interpolating for DTM determination. Int Arch Photogramm Remote Sens Spat Inf Sci 34(3A):55–61
Briese C, Doneus M, Pfeifer N, Melzer T (2007) Verbesserte DGM-Erstellung mittels full-waveform airborne laserscanning. In: Proceedings of the 3-Ländertagung DGPF, SGPBF, OVG, Basel (in German)
Briese C, Höfle B, Lehner H, Wagner W, Pfenningbauer M (2008) Calibration of full-waveform airborne laser scanning data for object classification. In: Proceedings of the SPIE: laser radar technology and applications XIII, Orlando
Briese C, Pfennigbauer M, Lehner H, Ullrich A, Wagner W, Pfeifer N (2012) Radiometric calibration of multi-wavelength airborne laser scanning data. ISPRS Ann Photogramm Remote Sensing and Spat Inf Sci 1(7):335–340
Chauve A, Vega C, Durrieu S, Bretar F, Allouis T, Pierrot-Deseilligny M, Puech W (2009) Advanced full-waveform lidar data echo detection: assessing quality of derived terrain and tree height models in an alpine coniferous forest. Int J Remote Sens 30:5211–5228
Doneus M, Briese C (2006) Digital terrain modelling for archaeological interpretation within forested areas using full-waveform laserscanning. In: Proceedings of the 7th international symposium on virtual reality, archaeology and cultural heritage VAST, Nicosia, Cyprus, pp 155–162
Doneus M, Briese C, Fera M, Janner M (2008) Archaeological prospection of forested areas using full-waveform airborne laser scanning. J Archaeol Sci 35:882–893
Ducic V, Hollaus M, Ullrich A, Wagner W, Melzer T (2006) 3D vegetation mapping and classification using full-waveform laser scanning. In: Proceedings of the international workshop 3D remote sensing in forestry, Vienna, pp 211–217
Heinzel J, Koch B (2011) Exploring full-waveform LiDAR parameters for tree species classification. Int J Appl Earth Obs Geoinf 13:152–160
Heinzel J, Koch B (2012) Investigating multiple data sources for tree species classification in temperate forest and use for single tree delineation. Int J Appl Earth Obs Geoinf 18:101–110
Höfle B, Pfeifer N (2007) Correction of laser scanning intensity data: data and model-driven approaches. ISPRS J Photogramm Remote Sens 62:415–433
Höfle B, Hollaus M, Lehner H, Pfeifer N, Wagner W (2008) Area-based parameterization of forest structure using full-waveform airborne laser scanning data. In: Proceedings of the SilviLaser 2008, Edinburgh, p 9
Höfle B, Hollaus M, Hagenauer J (2012) Urban vegetation detection using radiometrically calibrated small-footprint full-waveform airborne lidar data. ISPRS J Photogramm Remote Sens 67:134–147
Hollaus M (2006) Large scale applications of airborne laser scanning for a complex mountainous environment. PhD thesis, Vienna University of Technology
Hollaus M, Mücke W, Höfle B, Dorigo W, Pfeifer N, Wagner W, Bauerhansl C, Regner B (2009a) Tree species classification based on full-waveform airborne laser scanning data. In: Proceedings of the SilviLaser 2009, College Station, Texas, USA, pp 54–62
Hollaus M, Wagner W, Schadauer K, Maier B, Gabler K (2009b) Growing stock estimation for alpine forests in austria: a robust lidar-based approach. Can J For Res 39:1387–1400
Hollaus M, Aubrecht C, Höfle B, Steinnocher K, Wagner W (2011) Roughness mapping on various vertical scales based on full-waveform airborne laser scanning data. Remote Sens 3:503–523
Holmgren J, Persson Å (2004) Identifying species of individual trees using airborne laser scanner. Remote Sens Environ 90:415–423
Hopkinson C, Chasmer L (2009) Testing LiDAR models of fractional cover across multiple forest ecozones. Remote Sens Environ 113:275–288
Hyyppä J, Hyyppä H, Leckie D, Gougeon F, Yu X, Maltamo M (2008) Review of methods of small-footprint airborne laser scanning for extracting forest inventory data in boreal forests. Int J Remote Sens 29:1339–1366
Hyyppä J, Yu X, Hyyppä H, Vastaranta M, Holopainen M, Kukko A, Kaartinen H, Jaakkola A, Vaaja M, Koskinen J, Alho P (2012) Advances in forest inventory using airborne laser scanning. Remote Sens 4:1190–1207
Kaasalainen S, Hyyppä J, Litkey P, Hyyppä H, Ahokas E, Kukko A, Kaartinen H (2007) Radiometric calibration of ALS intensity. Int Arch Photogramm Remote Sens Spat Inf Sci 36(3/W52):201–205
Korpela I, Koskinen M, Vasander H, Holopainen M, Minkkinen K (2009) Airborne small-footprint discrete-return LiDAR data in the assessment of boreal mire surface patterns, vegetation, and habitats. For Ecol Manag 258:1549–1566
Kraus K, Pfeifer N (1998) Determination of terrain models in wooded areas with airborne laser scanner data. ISPRS J Photogramm Remote Sens 53:193–203
Kraus K, Briese C, Attwenger M, Pfeifer N (2004) Quality measures for digital terrain models. Int Arch Photogramm Remote Sens Spat Inf Sci 35(B2):113–118
Kronseder K, Ballhorn U, Böhm V, Siegert F (2012) Above ground biomass estimation across forest types at different degradation levels in Central Kalimantan using LiDAR data. Int J Appl Earth Obs Geoinf 18:37–48
Lehner H, Briese C (2010) Radiometric calibration of full-waveform airborne laser scanning data based on natural surfaces. Int Arch Photogramm Remote Sens Spat Inf Sci 38(7B):360–365
Leica Geosystems (2013) www.leica-geosystems.com. Homepage of the company Leica Geosystems. Accessed Aug 2013
Leiterer R, Morsdorf F, Schaepman M, Mücke W, Pfeifer N, Hollaus M (2012) Robust characterization of forest canopy structure types using full-waveform airborne laser scanning. In: Proceedings of the SilviLaser 2012, Vancouver, p 8
Lin Y, Mills J (2009) Integration of full-waveform information into the airborne laser scanning data filtering process. Int Arch Photogramm Remote Sens Spat Inf Sci 38(3/W8):224–229
Lindberg E, Olofsson K, Holmgren J, Olsson H (2012) Estimation of 3D vegetation structure from waveform and discrete return airborne laser scanning data. Remote Sens Environ 118:151–161
Liu Q, Li Z, Chen E, Pang Y, Li S, Tian X (2011) Feature analysis of lidar waveforms from forest canopies. Sci China Earth Sci 54:1206–1214
Luzum B, Starek J, Slatton K (2004) Normalizing ALSM intensities. Technical report Rep_2004-07-001, Geosensing Engineering and Mapping, Civil and Coastal Engineering Department, University of Florida, p 8
MacLean GA, Krabill WB (1986) Gross-merchantable timber volume estimation using an airborne LiDAR system. Can Journal Remote Sens 12:7–18
Mallet C, Bretar F (2009) Full-waveform topographic lidar: State-of-the-art. ISPRS J Photogramm Remote Sens 64:1–16
Mallet C, Lafarge F, Roux M, Soergel U, Bretar F, Heipke C (2010) A marked point process for modeling lidar waveforms. IEEE Trans Image Process 19:3204–3221
Mandlburger G, Briese C, Pfeifer N (2007) Progress in LiDAR sensor technology – chance and challenge for DTM generation and data administration. In: Proceedings of the 51st photogrammetric week, Stuttgart. Herbert Wichmann Verlag, pp 159–169
Miura N, Jones SD (2010) Characterizing forest ecological structure using pulse types and heights of airborne laser scanning. Remote Sens Environ 114:1069–1076
Morsdorf F, Mårell A, Koetz B, Cassagne N, Pimont F, Rigolot E, Allgöwer B (2010) Discrimination of vegetation strata in a multi-layered mediterranean forest ecosystem using height and intensity information derived from airborne laser scanning. Remote Sens Environ 114:1403–1415
Mücke W (2008) Analysis of full-waveform airborne laser scanning data for the improvement of DTM generation. Master’s thesis, Institute of Photogrammetry and Remote Sensing, Vienna University of Technology
Mücke W, Hollaus M (2011) Modelling light conditions in forests using airborne laser scanning data. In: Proceedings of the SilviLaser 2011, Tasmania, p 8
Mücke W, Briese C, Hollaus M (2010) Terrain echo probability assignment based on full-waveform airborne laser scanning observables. Int Arch Photogramm Remote Sens Spat Inf Sci 38(7A):157–162
Næsset E (1997) Estimating timber volume of forest stand using airborne laser scanner data. Remote Sens Environ 61:246–253
Næsset E (2002) Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data. Remote Sens Environ 80:88–99
Næsset E (2007) Airborne laser scanning as a method in operational forest inventory: status of accuracy assessments accomplished in scandinavia. Scand J For Res 22:433–442
Neuenschwander AL, Magruder LA, Tyler M (2009) Landcover classification of small-footprint, fullwaveform lidar data. J Appl Remote Sens 3:033,544/1–033,544/13
Nilsson M (1996) Estimation of tree heights and stand volume using an airborne lidar system. Remote Sens Environ 56:1–7
Optech Inc. (2013) www.leica-geosystems.com. Homepage of the company Optech Inc. Accessed Aug 2013
Ørka HO, Næsset E, Bollandsås OM (2009) Classifying species of individual trees by intensity and structure features derived from airborne laser scanner data. Remote Sens Environ 113:1163–1174
Persson Å, Söderman U, Töpel J, Ahlberg S (2005) Visualization and analysis of full-waveform airborne laser scanner data. Int Arch Photogramm Remote Sens Spat Inf Sci 36(3/W19): 103–108
Pfeifer N, Stadler P, Briese C (2001) Derivation of digital terrain models in the SCOP++ environment. In: Torlegård K, Nelson J (eds) Proceedings of the OEEPE workshop on airborne laserscanning and interferometric SAR for detailed digital terrain models, Stockholm
Pfeifer N, Gorte B, Oude Elberink S (2004) Influences of vegetation on laser altimetry – analysis and correction approaches. Int Arch Photogramm Remote Sens Spat Inf Sci 36(8/W2):283–287
Reitberger J, Krzystek P, Stilla U (2008) Analysis of full waveform LIDAR data for the classification of deciduous and coniferous trees. Int J Remote Sens 29:1407–1431
Reitberger J, Schnörr C, Krzystek P, Stilla U (2009) 3D segmentation of single trees exploiting full waveform LIDAR data. ISPRS J Photogramm Remote Sens 64:561–574
Riegl LMS (2013) www.riegl.com. Homepage of the company RIEGL laser measurement systems GmbH. Accessed Aug 2013
Rossmann J, Schluse M, Buecken A, Krahwinkler P, Hoppen M (2009) Cost-efficient semi-automatic forest inventory integrating large scale remote sensing technologies with goal-oriented manual quality assurance processes. In: IUFRO division 4 – extending forest inventory and monitoring over space and time, Quebec City
Thiel KH, Wehr A (2004) Performance capabilities of laser scanners – an overview and measurement principle analysis. Int Arch Photogramm Remote Sens Spat Inf Sci 36(8/W2):14–18
Tóvari D, Pfeifer N (2005) Segmentation based robust interpolation – a new approach to laser data filtering. Int Arch Photogramm Remote Sens Spat Inf Sci 36(3/W19):79–84
Vaughn NR, Moskal LM, Turnblom EC (2012) Tree species detection accuracies using discrete point lidar and airborne waveform lidar. Remote Sens 4:377–403
Vetter M, Höfle B, Hollaus M, Gschöpf C, Mandlburger G, Pfeifer N, Wagner W (2011) Vertical vegetation structure analysis and hydraulic roughness determination using dense ALS point cloud data – a voxel based approach. Int Arch Photogramm Remote Sens Spat Inf Sci 38(5/W12):1–6
Vosselman G (2000) Slope based filtering of laser altimetry data. Int Arch Photogramm Remote Sens 33(B3):935–942
Wagner W, Ullrich A, Melzer T, Briese C, Kraus K (2004) From single-pulse to full-waveform airborne laser scanners: potential and practical challenges. Int Arch Photogramm Remote Sens Spat Inf Sci 35(Part B3):201–206
Wagner W, Hollaus M, Briese C, Ducic V (2008) 3D vegetation mapping using small-footprint full-waveform airborne laser scanners. Int J Remote Sens 29:1433–1452
Wing BM, Ritchie MW, Boston K, Cohen WB, Gitelman A, Olsen MJ (2012) Prediction of understory vegetation cover with airborne lidar in an interior ponderosa pine forest. Remote Sens Environ 124:730–741
Yao W, Krzystek P, Heurich M (2012) Tree species classification and estimation of stem volume and DBH based on single tree extraction by exploiting airborne full-waveform LiDAR data. Remote Sens Environ 123:368–380
Acknowledgements
Markus Hollaus has been supported by the project NEWFOR, financed by the European Territorial Cooperation “Alpine Space”. Andreas Roncat has been supported by a Karl Neumaier PhD scholarship.
The Ludwig Boltzmann Institute for Archaeological Prospection and Virtual Archaeology is based on an international cooperation of the Ludwig Boltzmann Gesellschaft (Austria), the University of Vienna (Austria), the Vienna University of Technology (Austria), the Austrian Central Institute for Meteorology and Geodynamics, the office of the provincial government of Lower Austria, Airborne Technologies GmbH (Austria), RGZM (Roman-Germanic Central Museum Mainz, Germany), RA (Swedish National Heritage Board), VISTA (Visual and Spatial Technology Centre, University of Birmingham, UK) and NIKU (Norwegian Institute for Cultural Heritage Research).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Hollaus, M., Mücke, W., Roncat, A., Pfeifer, N., Briese, C. (2014). Full-Waveform Airborne Laser Scanning Systems and Their Possibilities in Forest Applications. In: Maltamo, M., Næsset, E., Vauhkonen, J. (eds) Forestry Applications of Airborne Laser Scanning. Managing Forest Ecosystems, vol 27. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8663-8_3
Download citation
DOI: https://doi.org/10.1007/978-94-017-8663-8_3
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-017-8662-1
Online ISBN: 978-94-017-8663-8
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)